Jamie Maguire

Software Architect / Consultant / Developer

Ads API, AdTech, Analytics and Big Data, Blogging, C#, Machine Learning, MVC, Prototyping, Sentiment Analysis, Social Media

Twitter and the 2017 #Promote Innovation Challenge

Introduction

I entered #Promote last year and extended a product I had built to integrate with the Twitter Ads API (Social Opinion).  Using machine learning I was able to perform sentiment analysis for brands, products or services.  I didn’t win #Promote but the experience was worth it!

I got a nudge from someone recently and found out that Twitter have a new initiative underway – the #Promote Innovation Challenge.  I’ll be adding a new feature to Social Opinion that will provide marketers with an ad-tech solution that identifies commercial signals on Twitter and turns these into sales leads.  I’ll be submitting this as my entry.

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The new feature will build on existing core technology in Social Opinion and extend the audience creation algorithms which leverage machine learning and natural language processing (NLP).

What’s next?

I need to finalise some ideas and decide on some approaches for the NLP aspects of the updated engine.

I’ve recently been experimenting with Signal R, it’s a great match given the real-time nature of the Twitter fire-hose.

Weekly posting on here may take a hit whilst I try to carve out time in the evenings and weekends.  Maybe I can swap out items that were in the blog content schedule in favour of tracking updates for the 2017 Twitters Innovation Challenge.

Maybe this time I’ll win, watch this space! =)

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